MetRec: A dataset for meter classification of arabic poetry

被引：8

作者：

Al-Shaibani, Maged S. ^{[1
]}

Alyafeai, Zaid ^{[1
]}

Ahmad, Irfan ^{[1
]}

机构：

[1] KFUPM, Informat & Comp Sci Dept, Dhahran 31261, Saudi Arabia

来源：

DATA IN BRIEF | 2020年 / 33卷

关键词：

Arabic; meter; poetry; classification; prosody;

D O I：

10.1016/j.dib.2020.106497

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

In this data article, we report a dataset related to the research titled "Meter Classification of Arabic Poems Using Deep Bidirectional Recurrent Neural Networks"[2]. The dataset was collected from a large repository of Arabic poems, Aldiwan website [1]. The data collection was done using a Python script that scrapes the website to find the poems and their associated meters. The dataset contains the verses and their corresponding meter classes. Meter classes are represented as numbers from 0 to 13. The dataset can be highly useful for further research in order to improve the field of Arabic poems' meter classification. (C) 2020 Published by Elsevier Inc.

引用

页数：4